Development and Validation of Large-Scale Machine Learning Algorithms for Cardiovascular Diagnosis Based on Electrocardiograms Introduction Cardiovascular diseases (CV) have long been a major source of global disease burden. Early diagnosis and intervention are crucial for reducing complications, healthcare utilization, and associated costs. Tradit...

Impact of Deep Learning Sepsis Prediction Model on Nursing Quality and Patient Survival Research Background Sepsis is a systemic inflammatory response caused by infection, affecting approximately 48 million people globally each year, with around 11 million deaths. Due to the heterogeneity of sepsis, early identification often faces significant chal...

Using Large Language Models to Identify Social Determinants of Health from Electronic Health Records Background and Research Motivation Social Determinants of Health (SDOH) have a significant impact on patient health outcomes. However, these factors are often incompletely recorded or missing in the structured data of Electronic Health Records (EHR)...

Clinical and Pathological Heterogeneity of Alzheimer’s Disease and Patterns of Glial Cell Activation Academic Background Alzheimer’s Disease (AD), as the primary cause of dementia in the elderly, has always been a hot topic in research due to its pathological heterogeneity. Previous studies have indicated that the clinical symptoms of AD are divers...

MRI-Guided Staged Bilateral Focused Ultrasound Subthalamotomy for Parkinson’s Disease Background Parkinson’s Disease (PD) is a common neurodegenerative disorder, characterized mainly by motor symptoms such as tremor, rigidity, and bradykinesia. Traditionally, treatments for PD include medication and surgical interventions such as Deep Brain Stimula...

Precise Colorectal Cancer Screening Based on Customized Intervals Using Fecal Hemoglobin Concentration Researchers: Amy Ming-Fang Yen, Yang-Ching Chen, Yu-Lin Ding, Wen-Zhu Qiu, Han-Mo Qiu, Tony Hsiu-Hsi Chen, Sam Li-Sheng Chen Academic Background Colorectal cancer (CRC) is the third most prevalent malignancy worldwide. In recent years, significant...

Mesenchymal Stromal Cells with Chimeric Antigen Receptors for Enhanced Immunosuppression Background Mesenchymal Stromal Cells (MSCs) are pluripotent cells found in almost all tissues and possess significant immunosuppressive and regenerative properties. These features make MSCs widely studied for the treatment of immune diseases and tissue regenera...

Oncolytic Mineralized Bacteria May Be Used for Tumor Immunotherapy via Local Injection Research Background As a novel cancer treatment method, bacteria-based cancer immunotherapy has a long history dating back to the late 19th century when heated, inactivated bacteria were used to treat sarcomas. Initial trials found that these bacteria could trigg...

Generation of Synthetic Whole-Slide Images of Tumors from RNA Sequencing Data via Cascaded Diffusion Models A recent study published in Nature Biomedical Engineering, titled “Generation of Synthetic Whole-Slide Image Tiles of Tumours from RNA-Sequencing Data via Cascaded Diffusion Models,” has garnered significant attention. This research, conducte...

Utilization of Lipid Nanoparticles-mRNA Formulations to Eliminate ROS and Accelerate Diabetic Wound Healing Diabetic wounds are common complications in patients with hyperglycemia, characterized by high incidence and recurrence rates, causing substantial global economic losses. Existing treatments, including wound offloading and growth factor thera...